We developed two neural-network (NN)-based algorithms (fully-connected neural network
(Fc-NN) and recurrent neural network (RNN)) to perform pulse shape discrimination (PSD) …

Accurate discrimination of neutrons and gamma rays is critical for organic scintillation
detectors, especially for detection systems where minimal false-alarm rates are paramount …

Active interrogation (AI) is a promising technique to detect shielded special nuclear
materials (SNMs). At the University of Michigan, we are developing a photon-based AI …

In this paper, we present novel methods for automated pulse shape discrimination. The
classifiers are trained using simple radionuclide sources and do not require ground truth …

Pulse shape discriminating scintillator materials in many cases allow the user to identify two
basic kinds of pulses arising from two kinds of particles: neutrons and gammas, respectively …

This work deals with the discrimination of neutrons and gamma rays on the basis of their
different pulse shapes in scintillator detectors; this technique is widely employed in nuclear …

Neutron/Gamma pulse shape discrimination (PSD) was measured using stilbene and EJ-
299-34 plastic scintillators with readout by silicon photomultipliers (SiPMs). The SiPM pulses …

We demonstrate the use of a convolutional neural network to perform neutron-gamma pulse
shape discrimination, where the only inputs to the network are the raw digitised silicon …

Neutron and gamma ray pulse signal discrimination technology is an essential part of many
modern scientific fields, such as biology, geology, radiation imaging, and nuclear medicine …

A method of describing the characteristics of Cs 2 LiYCl 6 scintillator pulses is proposed by
fitting all individual pulses with multiple exponential functions. Simulated pulses under very …